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The relationship between Emotional Intelligence, Previous CaringExperience and Mindfulness in student nurses and midwives: Across sectional analysis
Citation for published version:Stenhouse, R, Snowden, A, Young , J, Carver, F, Carver, H & Brown, N 2014, 'The relationship betweenEmotional Intelligence, Previous Caring Experience and Mindfulness in student nurses and midwives: Across sectional analysis' Nurse Education Today., 10.1016/j.nedt.2014.09.004
Digital Object Identifier (DOI):10.1016/j.nedt.2014.09.004
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The relationship between Emotional Intelligence, Previous Caring Experienceand Mindfulness in student nurses and midwives: A cross sectional analysis
Austyn Snowden, Rosie Stenhouse, Jenny Young, Hannah Carver, FionaCarver, Norrie Brown
PII: S0260-6917(14)00302-5DOI: doi: 10.1016/j.nedt.2014.09.004Reference: YNEDT 2790
To appear in: Nurse Education Today
Accepted date: 9 September 2014
Please cite this article as: Snowden, Austyn, Stenhouse, Rosie, Young, Jenny, Carver,Hannah, Carver, Fiona, Brown, Norrie, The relationship between Emotional Intelligence,Previous Caring Experience and Mindfulness in student nurses and midwives: A crosssectional analysis, Nurse Education Today (2014), doi: 10.1016/j.nedt.2014.09.004
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The relationship between Emotional Intelligence, Previous Caring
Experience and Mindfulness in student nurses and midwives: a cross
sectional analysis.
Austyn Snowden PhD RMN (corresponding author)
Professor in Mental Health, University of the West of Scotland, Ayr campus,
KA8 0SX
Mobile No:
Rosie Stenhouse PhD RMN
Lecturer Nursing Studies, The University of Edinburgh
Jenny Young MSc
Research Assistant, University of the West of Scotland
Hannah Carver MSc
Research Assistant, Napier University
Fiona Carver MSc RMN
Lecturer, Napier University
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Norrie Brown PhD RMN
Senior Lecturer, Napier University
Acknowledgements
Funding: NHS Education Scotland/Scottish Government Health Directorate
Delivery Group. Supporting the development of the evidence base for
Recruitment, Selection and Retention of nursing and midwifery students in
Scotland. Funding £24,411
Word count 4737
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ABSTRACT
Background.
Emotional Intelligence (EI), previous caring experience and mindfulness
training may have a positive impact on nurse education. More evidence is
needed to support the use of these variables in nurse recruitment and
retention.
Objective.
To explore the relationship between EI, gender, age, programme of study,
previous caring experience and mindfulness training.
Design.
Cross sectional element of longitudinal study.
Setting & Participants.
938 year one nursing, midwifery and computing students at two Scottish HEIs
who entered their programme in September 2013.
Data.
Participants completed a measure of ‘trait’ EI: Trait Emotional Intelligence
Questionnaire Short Form (TEIQue-SF); and ‘ability’ EI: Schutte’s (1998)
Emotional Intelligence Scale (SEIS). Demographics, previous caring
experience and previous training in mindfulness were recorded.
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Methods
Relationships between variables were tested using non-parametric tests.
Results
Emotional intelligence increased with age on both measures of EI [TEIQ-SF
H(5)=15.157 p=0.001; SEIS H(5)=11.388, p=0.044]. Females (n=786) scored
higher than males (n=149) on both measures [TEIQ-SF, U = 44,931, z = -
4.509, p < .001; SEIS, U = 44,744, z = -5.563, p < .001]. Nursing students
scored higher that computing students [TEIQ-SF H(5) = 46,496, p < .001;
SEIS H(5)=33.309, p<0.001. There were no statistically significant differences
in TEIQ-SF scores between those who had previous mindfulness training
(n=50) and those who had not (n=857) [U = 22,980, z = 0.864, p =0.388].
However, median SEIS was statistically significantly different according to
mindfulness training [U = 25,115.5, z = 2.05, p = .039]. Neither measure
demonstrated statistically significantly differences between those with (n=492)
and without (n=479) previous caring experience, [TEIQ-SF, U = 112, 102, z =
0.938, p = .348; SEIS, U=115,194.5, z=1.863, p=0.063].
Conclusions.
Previous caring experience was not associated with higher emotional
intelligence. Mindfulness training was associated with higher ‘ability’ emotional
intelligence. Implications for recruitment, retention and further research are
explored.
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BACKGROUND
The Francis Report (2013) detailed multiple recommendations to improve the
quality of nursing in the UK. The Government and Nursing and Midwifery
Council subsequently expressed the desire to select student nurses for caring
values and attributes. In order to operationalize this Higher Education
Institutions (HEIs) need evidence on which to base decisions about which
attributes and values must be present in students. This paper explores three
potentially useful factors: emotional intelligence, mindfulness and previous
caring experience. It presents baseline results from the first phase of a
longitudinal study designed to ascertain the relationship between these
variables with clinical and academic performance in nurses (Snowden et al.,
2014). The key variables are first described and then the study method is
detailed. Results from this first phase of data collection are then presented.
Emotional Intelligence
Emotional intelligence (EI) is contested but well conceptualised in the
psychology literature (Mayer, Salovey, and Caruso 2004; Petrides, Furnham,
and Frederickson 2004; Schutte et al. 2001) and might be related to quality of
nursing care (Bulmer Smith et al., 2009). It is suggested that EI is a useful
variable to understand in relation to nurse recruitment (Taylor et al., 2014).
Most EI theorists see emotional intelligence either as an ability, a trait, or
some combination of the two (Austin et al., 2004), and then attempt to
measure it in accordance with that view (Qualter et al, 2010). For example
Schutte et al.'s (1998) self reported Emotional Intelligence Scale (SEIS) is an
‘ability’ measure. It is theoretically grounded in Salovey and Mayer (1990)
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concept of emotional intelligence that sees it as a subset of social intelligence
concerning the capacity to:
1. Monitor one’s own and others’ feelings and emotions,
2. Discriminate among them, and
3. Use this information to guide one’s thinking and actions.
(Salovey & Mayer, 1990, p189)
This conception of emotional intelligence therefore described it as a cognitive
process of active social judgement; a useful ability to measure in prospective
and practicing nurses. By contrast the most widely utilized trait measure is the
Trait Emotional Intelligence Questionnaire (TEIQ) developed by Petrides &
Furnham (2000), in part from a critique of Schutte’s conception. Rather than
seeing EI as a function of cognitive processes inherent in ‘ability’ measures
Petrides (2011) conceptualises EI as an aspect of personality. The distinction
is psychometrically important as the two require different measurement
techniques and Petrides goes on to point out that these measures do not
correlate with each other. Despite this there are consistent findings that
emotional intelligence, however conceptualized and measured, increases with
age and is higher in females than males (Fernández-Berrocal et al., 2012;
Petrides, 2011; Schutte et al., 2009).
There are ongoing debates between the proponents of different EI theories
arguing for the superiority of one conception over another (Cherniss, 2010;
Gignac, 2010; Roberts et al., 2010). The position we took was that it is likely
that different interpretations of emotional intelligence are useful. This is why in
our study we chose to utilize both Schutte’s et al’s (1998) measure (SEIS) and
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the short form TEIQ-SF (Cooper and Petrides 2010). The results from these
measures can then be interpreted against their unique theoretical
underpinnings (Petrides 2011).
Previous Caring Experience
It seems intuitive to think that those with previous caring experience may
make better nurses (Finfgeld-Connett, 2008). Even acknowledging that caring
is not a straightforward construct (Paley, 2002) previous practical experience
should at least ensure students are more likely to go into their training with
realistic expectations. This is why the UK government has supported Health
Education England to pay 200 prospective nurses to work as healthcare
assistants before starting their nurse training (Health Education England,
2014).
However, there is no evidence to support this assertion, and Scotland has not
taken this step. The assumption that previous caring experience would
somehow offset the issues raised in the Francis enquiry instead needs to be
tested, and there may be other more cost effective and empirically based
methods of doing so. To this end this study collected data on previous caring
experience so as to examine the relationship between those nurses with and
without previous experience and various measures of subsequent
performance. Specifically, participants were asked to self identify whether
they had previous caring experience or not. If so participants were then asked
to specify how much experience they had (in months) and where this
experience had taken place so as to get more nuanced data on the quantity
and type of experience referred to for the purpose of generalizing to other
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countries.
Mindfulness training
Nurse education focuses primarily on the knowledge and skills students need
to attain competence. Emphasis has shifted over the previous decades from
methods of teaching to a more critical understanding about how students
learn (Pashler et al., 2009; Snowden, 2013). This means facilitating learning
that equips students for the real-world demands of professional practice and
employment. As this environment can be emotionally difficult, a key related
area of current scrutiny is the role affective factors play in learning – the
interrelationship between emotion and cognition in learning (Hyland, 2009;
Mikulas, 2011) - and how to address these within curricula.
Mindfulness is based on the precept of developing self-knowledge and
enhancing well-being through becoming aware of the present moment,
specifically how one responds to each situation that arises (Khoury et al.,
2013). In the field of education it has become a progressively influential
concept and focus of research. There is a body of evidence that attests to
mindfulness’ potential for facilitating the kind of broader learning around well-
being and emotional intelligence that are relevant to coping with the realities
of 21st Century professional nursing practice (White, 2014). What is currently
unknown is whether mindfulness training is associated with higher emotional
intelligence and/or better academic and clinical performance. In the first phase
of data collection this study examined the relationship between EI and
mindfulness. Later phases will explore performance.
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AIM
The longitudinal study aims to identify the impact of emotional intelligence,
previous caring experience and mindfulness training on student progression
and graduate retention and achievement. The aim of this cross sectional
study is to understand the relationships between these variables at baseline.
Hypotheses:
1. Emotional intelligence will increase with age
2. Nurses with previous caring experience will show higher emotional
intelligence than those without previous caring experience
3. Mindfulness will be associated with higher emotional intelligence
4. Men will have lower emotional intelligence than women
5. Nurses will have higher emotional intelligence than non-nursing
students.
METHOD
Design.
Cross sectional analysis embedded within longitudinal quasi-experimental
design. The cross section refers to the baseline data collection from the
student cohort. The quasi-experimental design entailed non randomized
hypothesis testing between groups.
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Sample.
Participants were 870 nursing and midwifery students and sixty-eight
computing students attending day one of the first year of their degree
programmes at two Scottish universities in September 2013. All students had
been informed about the study in writing prior to the beginning of their course.
One midwifery student declined to participate.
Data.
All participants completed shortened version of the Trait Emotional
Intelligence Questionnaire (TEIQue-SF) and Schutte’s (1998) Emotional
Intelligence Scale. Demographic data (gender, age), previous caring and
previous training in mindfulness were also collected. All data were collected
on paper and transcribed to electronic databases for analysis.
Analytic plan.
Data were input into SPSS. Descriptives were constructed for all variables.
Distributions were tested for normality. All hypotheses were subsequently
tested utilising either parametric or non-parametric tests according to the
results of normality tests.
Ethics.
Ethical approval was gained from University of the West of Scotland and
Napier University school ethics committees.
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RESULTS
The sample was predominantly young with over 2/3 under 26 and 786 female
to 149 males (figure 1). Table 1 shows the majority were adult nursing
students.
Table 1. Sample by programme
Figure 1. Sample age and gender
Almost half (n=452) had had some previous caring experience. Of these, 48%
got their experience form nursing home, 33% from hospital and 17% from
home. 50 reported they had mindfulness training. Both measures of emotional
intelligence showed positive kurtosis and negative skew. Figure 2 illustrates
the distribution for the TEIQ measure.
Figure 2. TEIQ total distribution
ANALYSIS
Distributions of all responses to both EI measures were tested for
assumptions of normality using boxplot. Extreme outliers were noted and
confirmed with anomaly detection. However, despite removing these outliers
and rerunning normality tests the assumptions of normality were still violated.
The Z-score for kurtosis in SEIS was 7.5, nearly three times acceptable level
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(Laerd, 2014) (kurtosis = 1.245, standard error = 0.166). The Z-score for
skewness was -4.57 (skewness -0.38, standard error 0.083); nearly double
the acceptable limit. For the TEIQ the same pattern emerged with positive
kurtosis (kurtosis = 0.79, standard error = 0.166) and negative skew
(Skewness = -0.46, standard error = 0.083). EI scores were not normally
distributed as confirmed by Shapiro-Wilk’s test [TEIQ-SF (p<0.001); [SEIS,
p=0.001]. Non-parametric tests were therefore utilized to test the study
hypotheses.
1. Emotional intelligence will increase with age
Figure 3. Emotional Intelligence and Age group
A Kruskal-Wallace test was run to determine if there were differences in EI
scores between the six groups of participants by age (17-20, 21-25, 26-30,
31-35, 36-40, over 40). The distributions of TEIQ-SF scores were statistically
significantly different between groups, H(3) = 14.468, p = .002. The
distributions of the SEIS score were also statistically significantly different
between groups H(5)=11.388, p=0.044. Both measures increased with age.
Figure 3 shows the trend on SEIS, indicating increase in emotional
intelligence with age.
2. Nurses with previous caring experience will show higher emotional
intelligence than those without previous caring experience
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As the sample for this hypothesis excluded computer students the normality
tests were repeated in the nursing only sample (N=869). Again the boxplots
showed outliers and the distributions of both measures of EI appeared non-
normal. EI scores were not normally distributed in either group as confirmed
by Shapiro-Wilk’s test (p<0.001). This hypothesis was therefore also tested
using non-parametric assumptions.
A Mann-Whitney U test was run to determine if there were differences in EI
scores between nurses with previous caring experience and those without.
Distributions of the scores for both groups were similar, as assessed by visual
inspection. Median TEIQ-SF score was not statistically significantly different
between the two groups, U = 112, 102, z = 0.938, p = .348. Median SEIS
scores were also not statistically significantly different, U=115,194.5, z=1.863,
p=0.063. In fact means (SD) were virtually identical on TEIQ-SF [yes = 5.3
(0.63), no=5.33 (0.60)] and SEIS [yes=3.87 (0.42), no=3.86 (0.42)]. Previous
caring experience was not associated with higher emotional intelligence in this
sample.
3. Mindfulness will be associated with higher emotional intelligence
This hypothesis was tested with Mann Whitney U test due to the normality
issues discussed above. Median TEIQ-SF was not statistically significantly
different between those with experience of mindfulness and those without, U
= 22,980, z = 0.864, p =0.388. Median SEIS was statistically significantly
different between those with experience of mindfulness and those without, U
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= 25,115.5, z = 2.05, p = .039. In this sample previous mindfulness training
was not associated with higher trait emotional intelligence but was associated
with higher ability EI.
4. Men will have lower emotional intelligence than women
Although the distribution of responses to both EI measures was normal in
males it was not in females as assessed by Shapiro-Wilk test (p<0.001). A
Mann-Whitney U test was run to determine if there were differences in EI
scores between males and females. Median TEIQ-SF was statistically
significantly different between males and females, U = 44,931, z = -4.509, p <
.001. Median SEIS was statistically significantly different between males and
females, U = 44,744, z = -5.563, p < .001. The null hypotheses were rejected
in both EI measures. Women had significantly higher emotional intelligence
than men in this sample.
5. Nurses will have higher emotional intelligence than non-nursing
students.
A Kruskal-Wallace test was run to determine if there were differences in EI
scores between programme of study. Distributions of TEIQ-SF scores and
SEIS scores were not similar for all groups, as assessed by visual inspection
of boxplots. The distributions of TEIQ-SF scores were statistically significantly
different between groups, H(5) = 46,496, p < .001 (Figure 4). The distributions
of the SEIS score were also statistically significantly different between groups
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H(5)=33.309, p<0.001. The differences in both tests could be accounted for
by the low scoring of the computing students in comparison to all the nursing
student groups.
Figure 4. Median emotional intelligence scores by programme of study
In summary, emotional intelligence was found to significantly increase with
age. Previous caring experience was not associated with any difference in EI
scores. Previous mindfulness training was not associated with trait EI but was
associated with higher ability EI. Females scored significantly higher than
males on both measures of EI, and nursing students showed significantly
higher EI scores than computing students on both measures.
DISCUSSION
It is unknown if emotional intelligence is associated with success in this
cohort. This will be established over the course of the ongoing study by
analysing co-variables such as retention, clinical and academic achievement.
Nevertheless, the findings presented here show that previous caring
experience is not associated with increased emotional intelligence in this
sample. Mean scores between the groups in both measures were virtually
identical.
Caution needs to be exercised here as the previous caring experience
reported included a large range of activity including caring for relatives at
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home. However, over 81% reported their experience included hospital and/or
nursing home activity. This type of activity would reasonably be considered as
the type of experience the UK government and NMC is suggesting should be
encouraged in order to mitigate some of the criticisms in the Francis report.
Current pre-nursing experience pilots designed to facilitate this type of
experience have been described as ‘bold’ (p2) by the authors of the first
report into these pilots (Health Education England, 2014), and there is intuitive
plausibility for some form of pre-selection process grounded in ‘real world’
nursing experience. However, a more critical assessment of these pilots
would describe them as expensive, politically motivated and lacking in
evidence.
By contrast selecting students on the basis of evidence-based criteria would
provide a more economically sustainable and long-term solution to enhancing
recruitment. Again we stress that it remains unknown in this sample whether
EI will show any subsequent association with future performance.
Nevertheless baseline results show previous nursing experience is not
associated with any difference in relation to emotional intelligence. If EI is
subsequently shown to be associated with better performance, and many
studies suggest that it is (Bar-On, 2006; Schutte et al., 2001; Van Rooy and
Viswesvaran, 2004), then prior nursing experience would be irrelevant in this
sample.
Instead, the sample of nurses scored higher than average across the board.
Mean scores on TEIQ-SF in the Cooper and Petrides (2010) paper were all
within 0.2 points of 5 for males and females suggesting that 5 is probably a
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useful midpoint benchmark. On this assumption all the nurses in our study
were above average and the computing students below (table 2). On the SEIS
Schutte, Malouff, & Bhullar (2009) conducted a meta review of studies utilizing
the scale and although they did not average all the scores because of the
variation in sample types that means grouped around 3.6. This implies the
nurses in our sample again scored above this average and the computing
students below (table 2). It is therefore reasonable to explore the factors that
may impact upon emotional intelligence in order to better facilitate them if
possible. In this study we found significant differences in relation to
mindfulness, age and gender. These are discussed in turn.
Mindfulness training was associated with higher EI as measures by SEIS but
not TEIQ-SF. In the introduction the distinction between the measures was
explained as being grounded in theoretical distinctions between viewing EI as
ability or a trait. The SEIS is considered an ability measure, associated with
cognition as opposed to personality. This makes sense in interpreting this
finding, as mindfulness is a cognitive mechanism designed to help people
focus on the present (Khoury et al., 2013). Although causality is not possible
to establish it is rational to suggest that mindfulness training would be
expected to positively impact upon an ability measure of EI. From a practical
perspective, in line with the findings from this study, it also raises the
possibility that mindfulness training may be a better way of enhancing
emotional and cognitive abilities than pre-nursing programmes.
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In relation to age and gender, this study found that being female and
increasing age were both associated with significant increase in emotional
intelligence. These are common findings in the literature (Kafetsios 2004;
Mayer, Roberts, and Barsade 2008), but their practical benefit to nursing
recruitment is less obvious. For example on face value it would seem that
older women would therefore possess a superior emotional skillset and
should be prioritised for recruitment. However, this is unknown, and a key
reason for conducting the longitudinal elements of the current study is to
explore the more nuanced elements of these findings.
For example a related element of our current work considered the
psychometric properties of the EI measures. As discussed the SEIS and TEIQ
are ostensibly measuring different global constructs, one cognitive, the other
personality (Petrides 2011). Each measure claims to also consist of discrete
factors, such as appraising, utilizing and discriminating emotions in SEIS (Ng
et al., 2009; Qualter et al., 2010) and self-control, emotionality, well-being and
sociability in the full version of TEIQ (Petrides, 2009), though not necessarily
the TEIQ-SF (Petrides, 2006). However, gender differences are not explained
by these distinctions.
In order to investigate the psychometric properties of the TEIQ-SF we
conducted a concurrent Rasch and confirmatory factory analysis (CFA)
(Snowden et al, in review). The CFA showed a different four factor structure
to the a priori suggestion proposed by Petrides (2006). This is quite common
in the factor analytic literature. Factor interpretations are rarely replicated in
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different samples. However by using Rasch analysis (Bond and Fox, 2007) at
the same time we also discovered a secondary factor. Rasch analysis tests
the assumption that the data is consistent with a unidimensional model
(Engelhard, 2012). There should not be a secondary factor if the measure is
consistent with Petrides’ ‘global trait’ assumption. By finding a secondary
factor the Rasch analysis showed that five of the TEIQ-SF items were not
measuring the same construct as the rest of the items.
The key finding from comparing both these analyses was that the secondary
factor in the Rasch analysis contained exactly the same items as the second
factor in the CFA. Given these two measurement techniques are grounded in
entirely different philosophies any convergence in outcome is worth close
investigation. The secondary factor consisted of the following five TEIQ-SF
items:
5. I generally don’t find life enjoyable.
12. On the whole I have a gloomy perspective on most things.
13. Those close to me often complain I don’t treat them right.
16. I often find it difficult to show my affection to those close to me.
28. I find it difficult to bond well even with those close to me.
These items are all associated with negative (autistic) aspects of sociability
and mood, and would not intuitively be expected to be associated with
positive relationships in nursing. This is being investigated as the performance
data on this cohort emerges. Interestingly, removal of these five items from
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TEIQ-SF totals resulted in elimination of the mean difference between males
and females. This implies that the gender difference associated with the
TEIQ-SF may be a function of different gender specific responses to just
these five items. In our dataset females scored substantially more positively
on these five items than males. This finding will be monitored closely as the
study progresses. Further understanding of the relationship of these five items
to student progression and completion of nursing and midwifery education will
enhance knowledge about the role of this factor should the TEIQ-SF be used
for selection purposes.
Limitations
A number of limitations to the present study must be noted. First, the study is
reliant on self-report measures. These have long been known to be subject to
response bias (McGrath et al., 2010). Also, there were only 68 in the control
group and as such it is difficult to claim the comparative findings utilizing this
sample would be replicable. A related limitation was the non-normal
distribution of the responses to both EI measures. This assumptions of
normality were based on z-tests and Shapiro-Wilk test (Laerd, 2014). Other
authors have been more lenient, Petrides being of particular note here. For
example he has cited Curran, West, and Finch’s (1996) criteria of skewness
and kurtosis absolute values of 0 to 2, and 0 to 7 respectively as
demonstrating sufficient univariate normality (Cooper and Petrides 2010).
Because of our more stringent criteria that incorporated standard error
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measurement we could not use parametric tests. However, despite these
limitations where the results are significant they are worthy of further
exploration.
The second phase of data collection, repeating the TEIQ-SF and SEIS at the
beginning of second year and the first comparison of performance data began
September 2014.
CONCLUSION
Emotional intelligence is a well-developed construct that is logically consistent
with the social and relational aspects of nursing. It makes sense that if
emotional intelligence can be identified and nurtured then nursing would
benefit, particularly in relation to current anxieties around care and
compassion. However, this is not known. This paper has presented data from
the first phase of a longitudinal study designed to explore the relationship
between emotional intelligence and nursing performance in more detail.
Consistent with other studies it found that emotional intelligence increased
with age, and that females scored higher on EI measures than males. Nurses
scored higher on EI than non-nursing students. Mindfulness training was
associated with ability but not trait EI.
Most notably, previous nursing experience was not associated with any
difference in EI scores. Mean scores on both EI measures were virtually
identical between those with previous nursing experience and those without.
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Whilst it remains to be seen if these findings explain any subsequent variance
in performance, it suggests that there may be more important prerequisites to
successful nursing recruitment than prior nursing experience.
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Figure 1. Sample age and gender
0
50
100
150
200
250
300
350
400
17-20 21-25 26-30 31-35 36-40 41+
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Figure 4. Median emotional intelligence scores by programme of study
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Programme
Frequency Percent Valid Percent Cumulative Percent
Valid
adult 586 62.5 62.5 62.5
mental health 124 13.2 13.2 75.8
learning disability 29 3.1 3.1 78.9
children's 47 5.0 5.0 83.9
midwifery 83 8.8 8.9 92.7
computing 68 7.2 7.3 100.0
Total 937 99.9 100.0 Missing System 1 .1 Total 938 100.0
Table 1. Sample by programme
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Report
Programme TEIQ-SF Total SEIS Total
adult Mean 5.32 3.87
Std. Deviation .62 .42
mental health Mean 5.37 3.87
Std. Deviation .58 .46
learning disability Mean 5.14 3.79
Std. Deviation .61 .35
children's Mean 5.14 3.79
Std. Deviation .53 .32
midwifery Mean 5.37 3.94
Std. Deviation .67 .42
computing Mean 4.74 3.57
Std. Deviation .75 .47
Total Mean 5.27 3.85
Std. Deviation .65 .43
Table 2. mean emotional intelligence scores by programme of study
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Highlights
Emotional Intelligence (EI) may be useful to measure in recruitment of nurses
Previous caring experience and mindfulness training may also be useful in this regard
Data on EI, previous caring and mindfulness were obtained from 938 year one students
Mindfulness was associated with higher EI. Previous caring experience was not.
Older female nurses scored highest on EI. Implications are discussed.